MetaLanguage model
Llama-3.2-1B
Summary
Llama 3.2 1B Base is the pretrained base model of the 1B size in Meta's Llama 3.2 series, with roughly 1.2 billion parameters. It is not post-trained for dialogue; the instruction-tuned version is Llama 3.2 1B Instruct.
The context window holds 131,072 tokens and the knowledge cutoff is December 2023. The weights use the Llama 3.2 Community License.
All specifications
Architecture
Input and output
Watermarking and provenance
AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.
- AI watermarking
- Unknown
- no source
- Watermarking technique
- Not known
- no source
Licence and access
Prices
Not included in any subscription in Germany.
Frequently asked questions about Llama-3.2-1B
What is the knowledge cutoff of Llama-3.2-1B?
December 2023, according to Meta. That is 9 months before release.
Stated by Meta
How large is the context window of Llama-3.2-1B?
131,072 tokens. That is how much text Llama-3.2-1B reads at once, about 200 A4 pages.
Page count as a rule of thumb from Artificial Analysis
Can I run Llama-3.2-1B locally?
Yes, the weights are open.
Stated by Meta
- Open weights
- yes
- License
- Llama 3.2 Community
- Parameters
- 1B
- active per token
- n/a
Sources and data date
| Type | Evidence and data date |
|---|---|
| Input | Documented modalities. Retrieved October 27, 2026. |
| Output | Documented modalities. Retrieved October 27, 2026. |
| Additional source | Hugging Face · Llama-3.2-1B model card · Editorial description reviewed November 6, 2026 |